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Remote H1B Computer Science Jobs in Houston, TX (NOW HIRING)

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

MSc (preferred) or BSc in Computer Science, Artificial Intelligence, or a related quantitative ... Remote-first with co-working access at Industrious offices * 401(k) with employer match * Equity ...

FACS Cache Developer

Houston, TX · On-site +1

$90K - $110K/yr

Remote Compensation : $90,000 - $110,000 DOE (exempt/annual salary) For over 50 years, Transworld ... Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent ...

Required Qualifications: • Bachelor's degree in Information Technology, Computer Science, Network ... remote-site or distributed network environments. • Working knowledge of network devices and ...

Bachelor's degree from an accredited university in computer science or a related science or ... Location: Houston, Texas, remote with some in-person meetings * Employment Type: Full-time * ...

Remote Work Authorization: US Citizen Security Clearance: Able to get US "Public Trust" clearance ... Minimum Bachelor's degree in Cyber, Computer Science, or related field + 5 Years relevant working ...

You will report to the Team Lead and work remote out of Texas. Your Responsibilities: * You will be ... Bachelor of Science Degree in an Engineering discipline or Computer Science. * 2+ years of ...

New

Senior Software Engineer

Houston, TX · On-site +1

$116K - $154K/yr

Bachelor's degree from an accredited university in computer science or a related technical field or ... Location: Houston, Texas, remote with some in-person meetings * Employment Type: Full-time * ...

Showing results 41-60

Remote H1B Computer Science information

See Houston, TX salary details

$79.7K

$97.9K

$129.4K

How much do remote h1b computer science jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote h1b computer science in Houston, TX is $97,884.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $109,800.00 per year, depending on experience, location, and employer.

What is a Remote H1B Computer Science job?

A Remote H1B Computer Science job refers to a position in the field of computer science where the employee works remotely (often from home or another location outside the employer’s office) while being sponsored by a U.S. employer under the H1B visa program. The H1B visa allows U.S. companies to employ foreign workers in specialty occupations that require theoretical or technical expertise. In recent years, remote work has become more common for H1B holders, as long as the employer complies with Department of Labor and USCIS regulations, including updating the Labor Condition Application (LCA) if the work location changes. Remote H1B roles can include positions like software engineer, data analyst, or IT consultant.

What are the key skills and qualifications needed to thrive as a remote H1B Computer Science professional?

To thrive as a Remote H1B Computer Science professional, you need a strong background in computer science fundamentals, programming languages (such as Python, Java, or C++), and often a relevant degree or equivalent experience. Familiarity with tools like Git, cloud platforms (AWS, Azure, or GCP), and development frameworks, along with knowledge of remote collaboration tools (e.g., Slack, Jira), is typically required. Excellent communication, time management, and problem-solving skills are vital for effectively collaborating across time zones and cultural backgrounds. These skills and qualities are crucial for delivering high-quality solutions, maintaining productivity, and integrating seamlessly with distributed teams.

What are common challenges faced by remote H1B Computer Science professionals, and how can they be overcome?

Remote H1B Computer Science professionals often encounter challenges such as navigating time zone differences, maintaining effective communication with distributed teams, and ensuring compliance with visa-related work location requirements. To overcome these, it's crucial to establish clear communication channels, set regular check-ins with your team, and stay informed about any updates to H1B regulations regarding remote work. Utilizing collaboration tools and proactively engaging with managers can also help foster a sense of belonging and ensure that work is aligned with organizational goals.
What are the most commonly searched types of H1B Computer Science jobs in Houston, TX? The most popular types of H1B Computer Science jobs in Houston, TX are:
What are popular job titles related to Remote H1B Computer Science jobs in Houston, TX? For Remote H1B Computer Science jobs in Houston, TX, the most frequently searched job titles are:
What cities near Houston, TX are hiring for Remote H1B Computer Science jobs? Cities near Houston, TX with the most Remote H1B Computer Science job openings:
Infographic showing various Remote H1B Computer Science job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $97,884 per year, or $47.1 per hour.

Lead Machine Learning Engineer

NobleAI

Houston, TX • On-site, Remote

$97K - $128K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

At NobleAI, we believe that energy, material science and chemistry are key to building a sustainable world and that artificial intelligence is essential to unlock this potential. NobleAI leverages innovative Science-Based AI technology to revolutionize energy workflows, materials development, and chemical designs. We enable companies to accelerate innovation and reduce costs in developing sustainable technologies and products.
We're a team of excellence-driven individuals who value thoughtfulness and respect while focusing on delivering products that empower engineers and researchers to create better solutions faster.
At NobleAI, we are developing the next generation of intelligent chemical informatics platform. Our goal is to create a seamless, intuitive experience that empowers users to achieve unprecedented productivity in data processing, visualization, and model building. We are seeking a forward-thinking team member who thrives on innovation, collaboration, and rapid iteration, and has the ability to solve challenging problems in science and technology.
As a Lead Machine Learning Engineer specializing in conversational and agentic systems at NobleAI, you will be responsible for architecting, building, and deploying intelligent features to our VIP platform. This role is ideal for individuals passionate about the cutting edge of LLMs and eager to build AI systems that can reason, plan, and act.
Join us in building a more sustainable world through the power of AI and scientific innovation.
Requirements
  • Design domain specific AI systems and chatbots capable of complex dialogue management and workflow execution via tools, API calls and multi step tasks based on user goals, multi-agent orchestration.
  • Collaborate with scientists to assess, fine-tune, and deploy LLMs on domain specific data to support accuracy measurement for use cases
  • Build and maintain Retrieval-Augmented-Generation (RAG) systems, Reinforcement Learning frameworks, guardrail and assessment mechanisms for end to end lifecycle for customized models.
  • Collaborate with product and software engineers to integrate the features into our platform.
  • Establish prompt engineering and data management best practices for transparency and governance.
  • Establish best practices for monitoring and evaluation of data and models across the model lifecycle (development, testing, and production)
  • Keep a pulse on the latest advancements in NLP, LLMs, and agentic AI research, and act as a subject matter expert on architecture decisions on platform and use cases.

What We're Looking For
  • MSc (preferred) or BSc in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of hands-on experience building and deploying AI/ML systems, with a strong focus on Natural Language Processing (NLP).
  • Proven experience designing and shipping chatbots, virtual assistants, or agentic systems using modern LLM-based architectures.
  • Strong programming proficiency in Python (5+ years) and deep experience with core ML/NLP libraries such as PyTorch, TensorFlow
  • Hands-on experience with LLM agent frameworks for building complex, tool-using applications, multi-agent orchestration, or establishing MCP services for platform capabilities.
  • Demonstrated experience with Retrieval-Augmented Generation (RAG), including the use of vector databases like Pinecone, Weaviate, or ChromaDB.
  • Familiarity with techniques for fine-tuning LLMs (e.g., LoRA/QLoRA) and experience working with open-source models (e.g., Llama, Mistral) or major model APIs (e.g., OpenAI, Anthropic).
  • 5+ years of experience with cloud platforms (Azure preferred) and familiarity with deploying AI models as scalable microservices using Docker and Kubernetes (KFP, KServe).
  • Solid software engineering fundamentals, including version control (Git), automated testing, and CI/CD principles.
  • Excellent communication skills with the ability to articulate complex technical ideas to both technical and non-technical stakeholders.

Benefits
We offer great pay & benefits.
  • Top-tier health benefits coverage, including medical, dental, vision, disability and life insurance
  • Flexible paid time off & generous holidays
  • Remote-first with co-working access at Industrious offices
  • 401(k) with employer match
  • Equity package
  • Salary Range $190,000 - $205,000 (Depending on experience & Geographic location)
  • Performance-based bonus plan